Dataquest

Introduction to Data Analysis with Excel (Dataquest)

Offered by Dataquest,

Gain the skills you need to analyze and visualize data using Microsoft Excel. In this path, you will learn how to identify trends, communicate key insights to stakeholders, and help your organization make data-driven decisions.

We designed this skill path for aspiring data professionals with little experience, and learners who use basic Excel in their daily jobs. You’ll learn how to manipulate data using complex formulas, commands, and tools, such as macros, pivot tables, and advanced graphs.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Data Foundations
Preparing Data with Excel
Visualizing Data with Excel
Exploring Data with Excel
Analyzing Data with Excel

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistics & Data Analysis

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems.

Sep 21st 2026

5-12 Weeks

Data Analysis Exploratory Data Analysis Problem Solving

Coursera

Universidad de los Andes

Fundamentos de estadística aplicada (Coursera)

Statistics & Data Analysis CS: Programming

El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una adecuada fundamentación en estadística.

Sep 28th 2026

4 Weeks

Statistics Data Analysis Linear Regression

Dataquest

Data Analyst in Python (Dataquest)

CS: Programming Data Science

Gain the practical Python skills that will help you land your first job as a data analyst — or help you grow your career by adding one of the most popular programming languages to your CV. You’ll learn how to program with Python to dig into data analysis and data visualization — among other things. By the end, you’ll be able to manage the entire analysis process from preparing data to presenting insights through data visualization.

Self Paced

Self-Paced

Python Statistics Data Analysis

Dataquest

Business Analyst (Dataquest)

Data Science

Gain the skills you need to start a career as a Business Analyst. In this path, you will learn practical SQL, Excel, and Power BI skills. By the end, you will be able to analyze data, communicate insights, and make data-driven decisions.

Self Paced

Self-Paced

SQL Excel Data Analysis

Coursera

University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Business

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Sep 28th 2026

4 Weeks

Risk Management Data Analysis Brainstorming

Coursera

Columbia University

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera)

Health & Society Medicine & Pharmacology

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course. Our nation’s healthcare system is changing at a rapid pace.

Sep 28th 2026

4 Weeks

Health Innovation Healthcare

Coursera

The Hong Kong University of Science and Technology - HKUST

Introduction to Computers and Office Productivity Software (Coursera)

CS: Design & Product

In this course, you will learn the following essential computer skills for the digital age: major hardware components of a computer system; different types of software on a computer system; photo Editing using GIMP; and word processing applications, including MS Word, MS Excel, and MS PowerPoint.

Sep 28th 2026

5-12 Weeks

Computer Software Hardware

Coursera

Corporate Finance Institute

Power Query Fundamentals (Coursera)

Economics & Finance Business

In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.

Sep 28th 2026

5-12 Weeks

Excel Power Query Automation

Coursera

Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Sep 28th 2026

4 Weeks

Health Data Analysis Predictive Analytics

Coursera

University of Toronto

Bioinformatic Methods I (Coursera)

Health & Society Statistics & Data Analysis

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Sep 21st 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

ESSEC Business School

Case studies in business analytics with ACCENTURE (Coursera)

Statistics & Data Analysis Data Science

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

Sep 21st 2026

3 Weeks

Healthcare Media Pharmaceutical

Dataquest

Data Analyst in R (Dataquest)

CS: Programming Data Science

Equip yourself with the necessary R skills to land your first job as a data analyst — or take your career to the next level by adding this in-demand programming language. You’ll learn how to program with R to explore and extract data and create data visualizations. By the end, you’ll be able to present insights thanks to deep statistical analysis.

Self Paced

Self-Paced

Programming Statistics Probability